The elements of artificial intelligence: an introduction using LISP
The elements of artificial intelligence: an introduction using LISP
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
The structure of the relational database model
The structure of the relational database model
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Database tuning: a principled approach
Database tuning: a principled approach
The design of relational databases
The design of relational databases
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
ORACLE performance tuning
Polymorphism and type inference in database programming
ACM Transactions on Database Systems (TODS)
Meta-modelling in conceptual data base design using a plausibility function
Information modelling and knowledge bases VIII
Introduction to Database Systems
Introduction to Database Systems
The Rapid Application and Database Development Workbench - A Comfortable Database Design Tool
CAiSe '95 Proceedings of the 7th International Conference on Advanced Information Systems Engineering
The Conceptual Database Design Optimizer CoDO - Concepts, Implementation, Application
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
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This paper presents an approach to support the design of 'dynamic' databases where large amounts of data are updated frequently. The basis of our approach is formed by schemata of an extended entity-relationship model which are constructed in a modular way and can then be enriched by behavior specifications, functions, and view definitions. The goal is to derive the retrieval and update semantics from a given data schema as far as possible. The components of the database design toolbox RADD can be used to derive and analyze applications of the resulting information system, such that alternative EER representations with better performance properties can be automatically inferred, and visualized to the database designer. In this way, bottlenecks of the modeled system can be omitted - using the conceptual view to the database, and a logical formalism for requirements specification and database tuning.